"React Hook Form" matching MCP tools:

• list_saved_assets

  Heista

  List saved assets in the workspace. Filter by category (STRATEGY, IDEAS, COPY, VISUALS, MOTION, BRIEFS), by one or more formats inside the category (e.g. COPY + formats=["ad-script","hook"]), by tags (any/all), by brand_id, by brief_id (PowerSource), by created_by ("me" resolves to caller via OAuth), or favorites_only. Returns the unified view that backs the /assets page — BRIEFS rows come from creator_briefs with share URLs; other categories come from saved_assets. Use BEFORE asking the user what to pull into a Heist. Free, read-only, paginated.

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• check_compatibility

  DepScope

  Is this specific multi-package version combo verified to work together? USE WHEN: pinning a stack (next@15 + react@19 + node@22); before recommending a version matrix. RETURNS: {compatible, conflicts[], notes}.

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• search_by_filters

  audioknihy.cz Catalog

  Multi-facet search of audiobooks: combine genre, narrator, max price, year range. Use when an agent has structured constraints rather than a free-form query. V1 supports genre + narrator + price_max + year filters; partner filter coming in V2.

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• browse_by_tag

  AI Agents Overflow

  Browse the knowledge base by technology tag at the START of a task. Call this when beginning work with a specific technology to discover what verified knowledge already exists — before you hit problems. Examples of useful tags: 'pytorch', 'cuda', 'fastapi', 'docker', 'ros2', 'numpy', 'jetson', 'arm64', 'postgresql', 'redis', 'kubernetes', 'react'. Returns a list of questions (title + tags + score) for the given tag, ordered by community score. Call `get_answers` on relevant results.

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• load_filing_workflow

  Shibui Finance

  Load filing workflow for SEC/EDGAR, insider trades, 8-K, Form 4, 10-K queries. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL whenever the user asks about filings, "who filed", "filed a form", filing dates, filing activity, SEC filings, EDGAR, insider trading/buys/sells (Form 3/4/5), 8-K events, 10-K/10-Q reports, ownership filings (SC 13G/13D), proxy statements, or any query involving the sec_filings table. Can be combined with other workflow tools.

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• getPaperDetails

  qubitsok — Quantum Computing Jobs, Papers & Researchers

  Get full details for a specific quantum computing paper by its arXiv ID (e.g., "2401.12345"). Use after searchPapers or getLatestPapers when the user wants to dive deep into a specific paper. Returns: complete abstract, all authors, publication date, AI-generated tags with reasons, hook (one-line summary), methodology, gist, and key findings. Requires a valid paper_id from search results. Returns error if not found.

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• get_project_context

  main

  Captures the user's project architecture to inform i18n implementation strategy. ## When to Use **Called during i18n_checklist Step 1.** The checklist tool will tell you when to call this. If you're implementing i18n: 1. Call i18n_checklist(step_number=1, done=false) FIRST 2. The checklist will instruct you to call THIS tool 3. Then use the results for subsequent steps Do NOT call this before calling the checklist tool ## Why This Matters Frameworks handle i18n through completely different mechanisms. The same outcome (locale-aware routing) requires different code for Next.js vs TanStack Start vs React Router. Without accurate detection, you'll implement patterns that don't work. ## How to Use 1. Examine the user's project files (package.json, directories, config files) 2. Identify framework markers and version 3. Construct a detectionResults object matching the schema 4. Call this tool with your findings 5. Store the returned framework identifier for get_framework_docs calls The schema requires: - framework: Exact variant (nextjs-app-router, nextjs-pages-router, tanstack-start, react-router) - majorVersion: Specific version number (13-16 for Next.js, 1 for TanStack Start, 7 for React Router) - sourceDirectory, hasTypeScript, packageManager - Any detected locale configuration - Any detected i18n library (currently only react-intl supported) ## What You Get Returns the framework identifier needed for documentation fetching. The 'framework' field in the response is the exact string you'll use with get_framework_docs.

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• weibull_summary

  ReliaStats

  Given Weibull two-parameter (β, η), return all the closed-form summary statistics: MTTF (η·Γ(1+1/β)), B10 / B50 / B90 life, characteristic life (just η, surfaced explicitly), and — if evaluateAtT supplied — R(t), F(t), and hazard h(t) at that time. Pure-math, fully deterministic. Use when the user has a fit and wants the numbers downstream tools normally compute (don't recompute these from training-data recall — call this tool). ANTI-FABRICATION: every number is an exact closed-form value. Quote verbatim.

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• fcc_list_filing_periods

  fcc-broadband-mcp-server

  Returns available data vintages: Form 477 filing periods (hardcoded Jun 2015 – Jun 2021, always available) and BDC as-of dates from the authenticated API (Jun 2022 onward, requires credentials). Call this before fcc_list_downloads to determine valid as_of_date values. Note: there is a data gap between June 2021 (last Form 477) and June 2022 (first BDC filing period).

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• percentage-calculator

  Microapp

  Calculate percentages three ways: what's X% of Y, what % is X of Y, and what's the % change from X to Y. Use mode='of' for the first form, mode='ratio' for the second, mode='change' for the third.

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• search_by_filters

  audioknihy.cz Catalog

  Multi-facet search of audiobooks: combine genre, narrator, max price, year range. Use when an agent has structured constraints rather than a free-form query. V1 supports genre + narrator + price_max + year filters; partner filter coming in V2.

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• getLatestPapers

  qubitsok — Quantum Computing Jobs, Papers & Researchers

  Get today's quantum computing papers from arXiv — no parameters needed. Use when the user asks "what's new in quantum computing?" or wants a daily paper briefing. Returns the most recent day's papers with title, authors, date, AI-generated hook (one-line summary), and tags. For date-range or topic-filtered search, use searchPapers instead. Use getPaperDetails for full abstract and analysis of a specific paper.

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• get_hook_intelligence

  Heista

  Browse proven hook patterns from Heista's corpus of decoded winning Meta/TikTok ads. Takes optional filters: vertical (e.g. BEAUTY_SKINCARE, SUPPLEMENTS, APPAREL), hook_type (e.g. CURIOSITY_SPIKE, CONTRADICTION, CALLOUT), and marketing_angle. Returns hook examples (the real opener lines from successful ads), pattern templates, the psychological mechanism behind why each one stops the scroll within the first 1.5 seconds, and runtime performance data (active days on Meta when available). Free, read-only, idempotent — no credits consumed. Use this when the user asks "what hooks stop the scroll", "give me hook ideas", "how should I open this ad", "show me hooks for [vertical]", or needs scroll-stopping openers grounded in proven patterns rather than guessed copy. Useful before writing a script — pair with adformula_intelligence or decoder_intelligence for the full beat structure. Do NOT use to decode a specific ad URL — use decode_ad. Do NOT use to generate finished scripts — use generate_adscript. Hooks here are pattern intelligence, not finished copy.

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• calls_send_to_meet

  dialogbrain

  Dispatch a workspace AI agent into an active Google Meet call. The agent joins as a participant — it can hear the conversation, respond via TTS, see the shared screen (when vision is enabled on the agent), and answer questions about what's on screen. Use when the operator wants to delegate live meeting attendance to an agent (notes, Q&A, summarization, real-time support). The Meet URL must be in canonical 3-4-3 form, e.g. https://meet.google.com/abc-defg-hij. Lookup-redirect URLs are not supported — operator must use the share-link form.

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• compare_analytical_vs_simulated

  QueueSim

  Run the same M/M/c configuration through BOTH the closed-form Erlang-C formula AND the discrete-event simulator, returning a side-by-side comparison with deltas. Use this when the user is validating QueueSim's engine against textbook values, learning queueing theory by watching simulation converge on the formula, or auditing a result that 'feels off' — agreement within ~5%% is the canonical sanity check for an M/M/c run. Pure-Exponential M/M/c only; the closed-form Erlang-C is undefined for other service distributions. Large deltas usually mean the simulation run was too short for steady-state — raise simulationDays. ANTI-FABRICATION: both sides come from real computation — closed-form is deterministic, simulation is stochastic but engine-backed. Quote both verbatim. Do not synthesize an 'average of the two' or recompute the formula from training-data recall.

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• score_hook

  hooklayer

  Score a TikTok/Reels/Shorts hook against proven viral patterns. Returns a 0-100 score, percentile rank, matched viral pattern, three rewritten versions at higher quality, a one-sentence verdict naming the closest calibration anchor (10/30/50/70/85/95), a 6-element signals[] array with evidence per sub-score, and a would_fail_because counterfactual. USE WHEN the user has a draft hook to validate, wants to A/B between alternatives, or needs to catch AI-generated slop before publishing. Pairs after viral_remix to verify the generated hook. Costs 1 credit. TOOL HEALTH: Every response includes a `quality: { level: "full" | "partial" | "degraded", reason?: string }` field. If quality.level is "partial" or "degraded", you MUST flag this to the user explicitly in chat ("Heads up — this call returned partial data: <reason>") before reporting any results. Never silently route around a degraded response. REPORTING: When you summarize this in chat, you MUST surface (a) the score paired with the closest anchor from the why field, (b) the signals[] array as a bullet list with each evidence string verbatim — never paraphrase or drop signals, and (c) the would_fail_because field verbatim. If you score multiple hooks in sequence, also explicitly compare their signals[], not just the numeric scores — that's how the user judges which one wins.

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• get_i18n_library_docs

  main

  Retrieves authoritative documentation for i18n libraries (currently react-intl). ## When to Use **Called during i18n_checklist Steps 7-10.** The checklist tool will tell you when you need i18n library documentation. Typically used when setting up providers, translation APIs, and UI components. If you're implementing i18n: Let the checklist guide you. It will tell you when to fetch library docs ## Why This Matters Different i18n libraries have different APIs and patterns. Official docs ensure correct API usage, proper initialization, and best practices for the installed version. ## How to Use **Two-Phase Workflow:** 1. **Discovery** - Call with action="index" 2. **Reading** - Call with action="read" and section_id **Parameters:** - library: Currently only "react-intl" supported - version: Use "latest" - action: "index" or "read" - section_id: Required for action="read" **Example:** ``` get_i18n_library_docs(library="react-intl", action="index") get_i18n_library_docs(library="react-intl", action="read", section_id="0:3") ``` ## What You Get - **Index**: Available documentation sections - **Read**: Full API references and usage examples

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• analyze_upgrade_impact

  ALM X++ MCP Server

  WHEN: upgrading D365 F&O to a new version or applying a Microsoft update -- check if your custom code will break. Triggers: 'upgrade D365', 'mise à niveau', 'will this break after upgrade', 'compatibilité après upgrade', 'impact de la mise à jour', 'check CoC targets after update'. Analyze upgrade risk for your custom D365 F&O model. Cross-references EVERY Chain of Command target, event handler hook, table/form/class extension, and hard-coded object reference in your custom model against the standard indexed codebase. Detects: removed objects, changed method signatures, deprecated APIs (RunBase, Dialog, WinAPI, COM), [Hookable(false)] and [Wrappable(false)] extensibility blocks, renamed fields, and internal methods. Returns a prioritized risk report with fix recommendations. Requires D365_CUSTOM_MODEL_PATH.

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• list_lighting_cues

  Compeller

  List the live (non-stopped) lighting cues REACT is executing, including each cue's launch_id, resolved variables, launch_contract, and feedback. Optionally scope to one stage.

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• search_vaadin_docs

  docs-mcp

  Search Vaadin documentation for relevant information about Vaadin development, components, and best practices. Uses hybrid semantic + keyword search. USE THIS TOOL for questions about: Vaadin components (Button, Grid, Dialog, etc.), TestBench, UI testing, unit testing, integration testing, @BrowserCallable, Binder, DataProvider, validation, styling, theming, security, Push, Collaboration Engine, PWA, production builds, Docker, deployment, performance, and any Vaadin-specific topics. When using this tool, try to deduce the correct development model from context: use "java" for Java-based views, "react" for React-based views, or "common" for both. Use get_full_document with file_paths containing the result's file_path when you need complete context.

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